Within the ever-evolving landscape of synthetic intelligence and equipment Understanding, algorithms serve as the spine of innovation. Between them, one stands out as arguably probably the most essential: gradient descent. This optimization algorithm powers anything from straightforward linear regression to elaborate neural networks that generate modern-day AI purposes like self-driving https://www.youtube.com/watch?v=ukDKssVrU4Q